OOIR: Observatory of International Research

Papers

(The median citation count of User Modeling and User-Adapted Interaction is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)

Article	Citations
Sandra Carberry, in memoriam	143
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	102
Learner models: design, components, structure, and modelling	69
Recommending on graphs: a comprehensive review from a data perspective	59
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	42
Generalisable sensor-free frustration detection in online learning environments using machine learning	36
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	33
Deep adversarial group recommendation with user feature space separation	29
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	25
Informative representations for forgetting-robust knowledge tracing	25
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	23
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	21
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	20
Preface on the special issue on group recommender systems	18
Preface to the special issue on personalization and adaptation in human–robot interactive communication	17
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	17
User-centered personalized gamification: an umbrella review	17
Gaze-based predictive models of deep reading comprehension	16
Enhancing user awareness on inferences obtained from fitness trackers data	15
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	15
A novel heterogeneous hypergraph social network recommendation system	13
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	13
A context-aware recommender system-based framework for improving cultural experiences	12
Non-binary evaluation of next-basket food recommendation	11

Safe, effective and explainable drug recommendation based on medical data integration	11
Digitally nudging users to explore off-profile recommendations: here be dragons	11
A bias detection tree approach for detecting disparities in a recommendation model’s errors	11
Fair performance-based user recommendation in eCoaching systems	10
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	10
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	9
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions	9
One size does not fit all: detecting attention in children with autism using machine learning	9
Enhancing a student productivity model for adaptive problem-solving assistance	8
Generating explanations for knowledge-aware conversational recommendation systems	8
Personalized recommendations for learning activities in online environments: a modular rule-based approach	8
Efficient incorporation of new interactions in graph recommenders via folding-in	8
Improving selection diversity using hybrid graph-based news recommenders	8
A Bayesian framework for learning proactive robot behaviour in assistive tasks	8
An overview of consensus models for group decision-making and group recommender systems	8
Modeling the phases of rule learning during problem solving with an interactive learning environment	7
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation	7
Data-constrained personalization of cognitive state detection with feature-based and foundation models	7
Personalized home-care support for the elderly: a field experience with a social robot at home	7
Improving session-based recommendation with contrastive learning	7
Socially enhanced graph network for early identification of at-risk students in virtual learning environments	7
Fairness in recommender systems: research landscape and future directions	6
Use of topical and temporal profiles and their hybridisation for content-based recommendation	6
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm	6
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation	6
Examining the merits of feature-specific similarity functions in the news domain using human judgments	6
A contrastive self-supervised learning method for source-free EEG emotion recognition	6
Cognitive personalization for online microtask labor platforms: A systematic literature review	6
Emotional intelligence and individuals’ viewing behaviour of human faces: a predictive approach	5
Preface to the special issue on news personalization and analytics	5
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems	5
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums	5
Using latent variable models to make gaming-the-system detection robust to context variations	5
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis	5
SNRBERT: session-based news recommender using BERT	5
Validating Motives of Autonomous Players (MAP) inventory: a bottom-up model of general motivational factors to videogame play	5